A network system and methods feature high-level security measures, event detection, and rules enforcement.

Network systems need rigorous security measures to prevent unauthorized access, data breaches, and network intrusions. The application of high-level security rules is one way of maintaining network safety. But to meet dynamic security threats, adaptive security features that can respond to network events are necessary. Existing approaches often rely on static rules that are ill-equipped to address evolving cybersecurity threats. In essence, they fail to adapt in real time to counter network-related events. Furthermore, most systems lack a systematic way of translating high-level security rules into enforceable low-level rules, thus contributing to weak enforcement mechanisms in the face of security threats.

Technology Description

The system is designed to handle data transfer across networks using high-level security rules that are stored in a database. It includes computing devices that communicate on a network, event sensors that detect any occurrences relating to the network, and a security rule translation module that associates security rules with detected events. Detected events are then used to produce low-level security rules based on data from the high-level security rule. The technology is differentiated by how its security rule-translation module formulates low-level rules using information from high-level rules and detected security events. In addition, it has switches that receive the low-level rules from the rule-translation module and directly enforce them on the network. This approach makes the system proactive and adaptable to dynamic security threats.

Benefits

  • High and proactive security through the rule-translation module
  • Adaptive security enforcement based on real-time threat detection
  • Improved network integrity because low-level security rules are enforced on the network
  • Reduction of data breaches by counteracting dynamic security threats
  • Enhanced network stability through continuous monitoring and detection of network events

Potential Use Cases

  • Corporations requiring high security to protect their internal networks from threats
  • Internet service providers that need to maintain a secure and stable network for customers
  • Government bodies managing sensitive data across their networks
  • Financial institutions to provide secure services by preserving network integrity
  • Healthcare facilities that need to shield patient data on their network